Enables AI agents to manage task state through MCP, including creating, updating, and tracking tasks, with support for client-side encryption and secure local credential storage.
Enables LLM agents to securely use credentials like passwords and API keys without exposing them in the context window, through encrypted storage and proxy-based injection.
Enables AI agents to securely access authenticated services (HTTP, SSH, SMTP) without exposing secrets, by acting as a server-side proxy that injects authentication.
Enables AI agents to securely access encrypted secrets (SSH keys, API tokens, passwords) with real-time user approval via Passkey, and supports SSH remote execution through the MCP protocol.
Enables MCP-compatible AI agents to save encrypted, DID-signed session checkpoints and resume the latest state across sessions, while keeping secrets and credentials in a local vault.